Motoshi Suzuki

3.3k citations
29 papers · 2.6k indexed · 2 hit papers · h-index 14
Topics
Cell death mechanisms and regulation (8 papers)Mitochondrial Function and Pathology (6 papers)RNA Interference and Gene Delivery (3 papers)

In The Last Decade

Motoshi Suzuki

27 papers receiving 2.6k citations

Hit Papers

Structure of Bax200020262008201720002008250500750

Peers

Motoshi Suzuki
Comparison fields: 5 of 107
  • Molecular Biology 2.2k
  • Oncology 303
  • Immunology 291
  • Epidemiology 258
  • Cell Biology 150
Replace Robert Eskes with:
Robert Eskes Switzerland
L B Chen United States
Gorka Basáñez Spain
Aisha Shamas‐Din Canada
Justin Kale Canada
Mona Ashiya United States
Xu‐Guang Xi China
Seong Eon Ryu South Korea
Dayong Zhai United States
S T Smiley United States
Motoshi Suzuki relative to Robert Eskes Switzerland Robert Eskes's profile →
Citations per field
00.5×2.9×
Robert Eskes · 1×
Citations per year

Countries citing papers authored by Motoshi Suzuki

Since Specialization
Citations

This map shows the geographic impact of Motoshi Suzuki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Motoshi Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoshi Suzuki more than expected).

Fields of papers citing papers by Motoshi Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Motoshi Suzuki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Motoshi Suzuki. The network helps show where Motoshi Suzuki may publish in the future.

Co-authorship network of co-authors of Motoshi Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Motoshi Suzuki. A scholar is included among the top collaborators of Motoshi Suzuki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Motoshi Suzuki. Motoshi Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 8
4 1
5 3
6 28
7 9
8 6
9 10
10 68
11 480
12 10
13
BAX activation is initiated at a novel interaction sitebreakdown →
542
14 3
15 55
16 158
17 39
18 15
19 32
20 57

About Motoshi Suzuki

Motoshi Suzuki is a scholar working on Molecular Biology, Toxicology and Developmental Neuroscience, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Mitochondrial Function and Pathology (6 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Toxicology (84 citations) and Clinical Biochemistry (107 citations). Motoshi Suzuki has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Nico Tjandra, Richard J. Youle, Albert Neutzner, Megan M. Cleland, Damien Arnoult, Soojay Banerjee, Chunxin Wang, Frank Edlich, Samuel G. Katz and Ho-Chou Tu. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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